The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-25"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "23889150 (up from 23647377 yesterday: 1.02 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "819414 (up from 813022 yesterday: 0.79 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5348361

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.43



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 5777710 37986 0.66 1006630 178486 1234 0.70 3.09
Brazil 3669995 47134 1.30 868074 116580 1271 1.10 3.18
India 3224547 57224 1.81 1316293 59357 967 1.66 1.84
Russia 963655 4639 0.48 103893 16524 118 0.72 1.71
South Africa 613017 1567 0.26 91699 13308 149 1.13 2.17
Peru 600438 6112 1.03 160548 27813 150 0.54 4.63
Mexico 568621 4916 0.87 118660 61450 650 1.07 10.81
Colombia 562113 10425 1.89 227134 17889 277 1.57 3.18
Spain 412553 7117 1.76 109739 28924 52 0.18 7.01
Chile 400985 1417 0.35 38023 10958 42 0.38 2.73
Iran 363363 2213 0.61 48577 20901 125 0.60 5.75
Argentina 359638 8771 2.50 146103 7563 197 2.67 2.10
United Kingdom 329821 1201 0.37 21895 41535 16 0.04 12.59
Saudi Arabia 309768 1114 0.36 28312 3722 31 0.84 1.20
Bangladesh 299628 2545 0.86 55608 4028 45 1.13 1.34
Pakistan 293711 450 0.15 13250 6255 11 0.18 2.13
France 285902 3488 1.24 57326 30549 16 0.05 10.69
Turkey 261194 1502 0.58 26260 6163 24 0.39 2.36
Italy 261174 876 0.34 12755 35445 4 0.01 13.57
Germany 237583 1461 0.62 24755 9281 5 0.05 3.91
Iraq 211947 3962 1.90 77225 6596 77 1.18 3.11
Philippines 197164 2912 1.50 84571 3038 28 0.93 1.54
Indonesia 157859 2447 1.57 42803 6858 99 1.46 4.34
Canada 127903 309 0.24 8244 9136 7 0.08 7.14
Qatar 117498 232 0.20 5960 194 0 0.00 0.17
Bolivia 110999 851 0.77 27638 4664 86 1.88 4.20
Ukraine 110949 1715 1.57 35069 2362 27 1.16 2.13
Ecuador 109030 741 0.68 21067 6368 46 0.73 5.84
Israel 106460 1988 1.90 30262 859 12 1.42 0.81
Kazakhstan 105075 173 0.16 10193 1523 108 7.63 1.45
Egypt 97619 141 0.14 2867 5298 18 0.34 5.43
Dominican Republic 92217 609 0.66 17922 1585 12 0.76 1.72
China 89752 34 0.04 1546 4712 1 0.02 5.25
Panama 88381 896 1.02 18957 1919 13 0.68 2.17
Sweden 86891 170 0.20 5710 5814 1 0.02 6.69
Oman 84652 143 0.17 5493 642 5 0.78 0.76
Belgium 82447 355 0.43 11799 9996 0 0.00 12.12
Kuwait 81573 613 0.76 12799 519 1 0.19 0.64
Romania 80390 1060 1.34 25149 3367 58 1.75 4.19
Belarus 70727 82 0.12 2477 652 6 0.93 0.92
Netherlands 69683 459 0.66 13404 6233 6 0.10 8.94
Guatemala 69651 1118 1.63 17286 2630 19 0.73 3.78
United Arab Emirates 67621 339 0.50 6269 377 1 0.27 0.56
Japan 63888 730 1.16 22541 1219 18 1.50 1.91
Poland 63073 763 1.22 14924 1977 17 0.87 3.13
Singapore 56435 31 0.05 3089 27 0 0.00 0.05
Portugal 55912 192 0.34 4231 1805 4 0.22 3.23
Honduras 55877 398 0.72 11578 1703 20 1.19 3.05
Morocco 54528 1276 2.40 27311 955 35 3.80 1.75
Nigeria 52800 252 0.48 8367 1007 3 0.30 1.91
Bahrain 50076 357 0.72 7944 186 1 0.54 0.37
Ghana 43717 95 0.22 5905 270 7 2.66 0.62
Ethiopia 43688 1545 3.67 23811 709 17 2.46 1.62
Kyrgyzstan 43245 119 0.28 5704 1057 0 0.00 2.44
Armenia 42936 111 0.26 3638 858 4 0.47 2.00
Algeria 42228 370 0.88 9724 1456 10 0.69 3.45
Venezuela 41158 820 2.03 19720 343 6 1.78 0.83
Switzerland 40262 202 0.50 4516 2002 1 0.05 4.97
Uzbekistan 39641 293 0.74 12594 284 4 1.43 0.72
Afghanistan 38070 16 0.04 1288 1397 8 0.58 3.67
Azerbaijan 35559 133 0.38 2649 521 2 0.39 1.47
Costa Rica 35305 842 2.44 15468 376 14 3.87 1.07
Moldova 34358 530 1.57 8544 960 15 1.59 2.79
Nepal 33533 855 2.62 12524 164 7 4.46 0.49
Kenya 32803 246 0.76 9601 559 5 0.90 1.70
Serbia 30820 106 0.35 4082 705 4 0.57 2.29
Ireland 28201 85 0.30 1948 1777 0 0.00 6.30
Austria 25706 211 0.83 4225 733 0 0.00 2.85
Australia 25204 151 0.60 5759 549 24 4.57 2.18
El Salvador 24986 175 0.71 6724 678 9 1.35 2.71
Czechia 22548 367 1.65 5262 416 1 0.24 1.84
West Bank and Gaza 19678 465 2.42 6908 133 0 0.00 0.68
Cameroon 18973 211 1.12 1255 410 2 0.49 2.16
Bosnia and Herzegovina 18326 297 1.65 5470 560 13 2.38 3.06
Korea, South 18265 320 1.78 3809 312 2 0.65 1.71
Cote d’Ivoire 17562 56 0.32 1269 114 0 0.00 0.65
Denmark 16905 84 0.50 2591 623 0 0.00 3.69
Bulgaria 15589 203 1.32 3175 572 9 1.60 3.67
Madagascar 14475 73 0.51 2580 178 0 0.00 1.23
Paraguay 14228 626 4.60 8376 231 12 5.48 1.62
North Macedonia 13799 126 0.92 2597 573 5 0.88 4.15
Lebanon 13687 532 4.04 8625 138 12 9.52 1.01
Senegal 13056 43 0.33 2624 274 2 0.74 2.10
Sudan 12974 71 0.55 1194 819 1 0.12 6.31
Kosovo 12683 235 1.89 3409 488 21 4.50 3.85
Zambia 11285 137 1.23 4492 282 2 0.71 2.50
Libya 11281 272 2.47 7057 203 4 2.01 1.80
Norway 10454 59 0.57 1092 264 0 0.00 2.53

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 681032 5471 0.81 154347 12382 147 1.20 1.82 17235.98 313.37 1 in 58
Florida 605502 2673 0.44 108172 10580 183 1.76 1.75 28192.08 492.60 1 in 35
Texas 604328 5878 0.98 138296 11935 186 1.58 1.97 20841.86 411.61 1 in 48
New York 430774 629 0.15 13185 32918 31 0.09 7.64 22143.71 1692.13 1 in 45
Georgia 258354 2101 0.82 60406 5262 106 2.06 2.04 24333.02 495.60 1 in 41
Illinois 224887 1681 0.75 38894 8126 29 0.36 3.61 17747.02 641.27 1 in 56
Arizona 199273 859 0.43 18768 4792 21 0.44 2.40 26168.85 629.29 1 in 38
New Jersey 190021 302 0.16 7051 15953 7 0.04 8.40 21393.49 1796.07 1 in 47
North Carolina 157741 1345 0.86 29026 2570 35 1.38 1.63 15040.02 245.04 1 in 66
Tennessee 145417 813 0.56 32976 1628 40 2.52 1.12 21281.03 238.25 1 in 47
Louisiana 144116 550 0.38 19655 4797 33 0.69 3.33 31000.73 1031.88 1 in 32
Pennsylvania 134760 556 0.41 15036 7582 25 0.33 5.63 10526.49 592.25 1 in 95
Massachusetts 126420 398 0.32 7217 8961 12 0.13 7.09 18191.23 1289.44 1 in 55
Alabama 117242 532 0.46 23540 2037 13 0.64 1.74 23911.40 415.44 1 in 42
Ohio 116495 844 0.73 21389 3996 10 0.25 3.43 9966.12 341.86 1 in 100
Virginia 114626 1003 0.88 20375 2494 23 0.93 2.18 13429.29 292.19 1 in 74
South Carolina 113488 937 0.83 19298 2529 18 0.72 2.23 22042.01 491.19 1 in 45
Michigan 108637 951 0.88 15462 6684 21 0.32 6.15 10878.00 669.28 1 in 92
Maryland 105046 377 0.36 13192 3707 13 0.35 3.53 17375.38 613.17 1 in 58
Indiana 88421 829 0.95 19166 3241 16 0.50 3.67 13134.01 481.42 1 in 76
Mississippi 79206 801 1.02 17007 2315 67 2.98 2.92 26613.59 777.85 1 in 38
Missouri 77390 793 1.04 22968 1470 17 1.17 1.90 12609.52 239.51 1 in 79
Washington 71705 334 0.47 12326 1876 9 0.48 2.62 9416.42 246.36 1 in 106
Wisconsin 71492 638 0.90 15436 1094 13 1.20 1.53 12278.71 187.89 1 in 81
Minnesota 70707 409 0.58 13545 1825 8 0.44 2.58 12537.52 323.60 1 in 80
Nevada 66413 403 0.61 14234 1230 30 2.50 1.85 21561.57 399.33 1 in 46
Iowa 57606 697 1.22 11375 1059 12 1.15 1.84 18258.23 335.65 1 in 55
Arkansas 57374 480 0.84 11993 711 15 2.16 1.24 19011.71 235.60 1 in 53
Colorado 55780 459 0.83 7404 1926 7 0.36 3.45 9686.15 334.45 1 in 103
Oklahoma 54172 650 1.21 14709 744 14 1.92 1.37 13690.27 188.02 1 in 73
Connecticut 52040 29 0.06 1930 4463 3 0.07 8.58 14596.30 1251.79 1 in 69
Utah 49767 403 0.82 7860 397 7 1.79 0.80 15523.29 123.83 1 in 64
Kentucky 44568 670 1.53 12371 895 11 1.24 2.01 9975.66 200.33 1 in 100
Kansas 38861 315 0.82 10079 430 1 0.23 1.11 13339.10 147.60 1 in 75
Nebraska 32348 301 0.94 5170 383 0 0.00 1.18 16722.43 197.99 1 in 60
Puerto Rico 30720 102 0.33 11396 395 5 1.28 1.29 9618.96 123.68 1 in 104
Idaho 30465 408 1.36 8229 326 12 3.82 1.07 16999.94 181.91 1 in 59
Oregon 25391 236 0.94 5692 428 8 1.90 1.69 6020.05 101.48 1 in 166
New Mexico 24606 64 0.26 3266 752 3 0.40 3.06 11734.86 358.64 1 in 85
Rhode Island 21372 70 0.33 1982 1039 4 0.39 4.86 20174.43 980.78 1 in 50
Delaware 16962 20 0.12 1825 603 -1 -0.17 3.56 17419.01 619.25 1 in 57
District of Columbia 13684 45 0.33 1286 604 0 0.00 4.41 19389.33 855.83 1 in 52
South Dakota 11505 80 0.70 2426 161 0 0.00 1.40 13005.01 181.99 1 in 77
North Dakota 10229 229 2.29 3296 138 1 0.73 1.35 13422.79 181.09 1 in 75
West Virginia 9399 84 0.90 2340 187 8 4.47 1.99 5259.22 104.64 1 in 190
New Hampshire 7156 16 0.22 463 429 0 0.00 5.99 5262.88 315.51 1 in 190
Hawaii 6984 215 3.18 4393 49 0 0.00 0.70 4932.65 34.61 1 in 203
Montana 6624 135 2.08 2310 97 6 6.59 1.46 6197.73 90.76 1 in 161
Alaska 4843 33 0.69 1449 36 4 12.50 0.74 6620.24 49.21 1 in 151
Maine 4369 12 0.28 392 131 0 0.00 3.00 3250.23 97.45 1 in 308
Wyoming 3632 29 0.80 748 37 0 0.00 1.02 6275.50 63.93 1 in 159
Vermont 1572 6 0.38 141 58 0 0.00 3.69 2519.28 92.95 1 in 397

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 10762506 681032 6.33 2456793 154347 6.28 272384.2
2 Florida 4466524 605502 13.56 682066 108172 15.86 207960.6
3 Texas 4724559 604328 12.79 839711 138296 16.47 162939.0
4 New York 7750445 430774 5.56 1596678 13185 0.83 398407.5
5 Georgia 2230850 258354 11.58 566438 60406 10.66 210112.2
6 Illinois 3782467 224887 5.95 931791 38894 4.17 298494.3
7 Arizona 1162204 199273 17.15 190960 18768 9.83 152622.5
8 New Jersey 2697895 190021 7.04 532959 7051 1.32 303742.1
9 North Carolina 2102359 157741 7.50 248333 29026 11.69 200452.1
10 Tennessee 2074612 145417 7.01 481962 32976 6.84 303608.8
11 Louisiana 1794062 144116 8.03 344205 19655 5.71 385919.9
12 Pennsylvania 1575205 134760 8.56 303676 15036 4.95 123043.8
13 Massachusetts 1614402 126420 7.83 372126 7217 1.94 232304.7
14 Alabama 927277 117242 12.64 204976 23540 11.48 189117.3
15 Ohio 2027874 116495 5.74 472062 21389 4.53 173484.2
16 Virginia 1499970 114626 7.64 331932 20375 6.14 175732.7
17 South Carolina 906107 113488 12.52 165650 19298 11.65 175987.0
18 Michigan 2579175 108637 4.21 624760 15462 2.47 258256.9
19 Maryland 1255565 105046 8.37 283219 13192 4.66 207679.7
20 Indiana 1010981 88421 8.75 225963 19166 8.48 150170.5
21 Mississippi 547261 79206 14.47 83470 17007 20.37 183882.3
22 Missouri 924078 77390 8.37 202555 22968 11.34 150564.4
23 Washington 1021478 71705 7.02 12656 12326 97.39 134142.1
24 Wisconsin 1205277 71492 5.93 216261 15436 7.14 207005.7
25 Minnesota 1072526 70707 6.59 194415 13545 6.97 190176.6
26 Nevada 579282 66413 11.46 90195 14234 15.78 188069.0
27 Iowa 587743 57606 9.80 97372 11375 11.68 186285.2
28 Arkansas 674184 57374 8.51 140285 11993 8.55 223400.6
29 Colorado 947645 55780 5.89 395642 7404 1.87 164557.8
30 Oklahoma 830831 54172 6.52 173555 14709 8.48 209966.4
31 Connecticut 1082706 52040 4.81 246435 1930 0.78 303679.9
32 Utah 630599 49767 7.89 85643 7860 9.18 196696.0
33 Kentucky 775468 44568 5.75 167613 12371 7.38 173573.1
34 Kansas 386957 38861 10.04 85118 10079 11.84 132823.6
35 Nebraska 340481 32348 9.50 56622 5170 9.13 176013.0
37 Idaho 240095 30465 12.69 52317 8229 15.73 133976.7
38 Oregon 528009 25391 4.81 108095 5692 5.27 125187.8
39 New Mexico 723801 24606 3.40 145991 3266 2.24 345188.4
40 Rhode Island 479383 21372 4.46 267430 1982 0.74 452520.9
41 Delaware 225328 16962 7.53 36020 1825 5.07 231399.0
42 District of Columbia 271622 13684 5.04 71495 1286 1.80 384870.5
43 South Dakota 137679 11505 8.36 22298 2426 10.88 155629.5
44 North Dakota 193599 10229 5.28 33129 3296 9.95 254046.3
45 West Virginia 403570 9399 2.33 105131 2340 2.23 225818.0
46 New Hampshire 199871 7156 3.58 35035 463 1.32 146995.2
47 Hawaii 180850 6984 3.86 50138 4393 8.76 127730.5
48 Montana 236507 6624 2.80 55271 2310 4.18 221287.3
49 Alaska 333831 4843 1.45 81182 1449 1.78 456336.9
50 Maine 237374 4369 1.84 61613 392 0.64 176589.7
51 Wyoming 70528 3632 5.15 15285 748 4.89 121860.7
52 Vermont 122078 1572 1.29 23277 141 0.61 195641.3

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 718711 25313 3.65 522427 72.69 172873 23089 624 2.78 3.21
Tamil Nadu 397261 11909 3.09 338060 85.10 52362 6839 225 3.40 1.72
Andhra Pradesh 382469 20757 5.74 286720 74.97 92208 3541 173 5.14 0.93
Karnataka 300406 16741 5.90 211688 70.47 83608 5091 281 5.84 1.69
Uttar Pradesh 203028 10646 5.53 148562 73.17 51325 3141 154 5.16 1.55
Delhi 165764 3237 1.99 148897 89.82 12520 4347 34 0.79 2.62
West Bengal 147775 5938 4.19 117857 79.75 26954 2964 113 3.96 2.01
Bihar 126990 3607 2.92 106765 84.07 19571 653 26 4.15 0.51
Telangana 111688 5597 5.28 85223 76.30 25685 780 19 2.50 0.70
Assam 96772 4152 4.48 76963 79.53 19532 274 22 8.73 0.28
Gujarat 90139 2293 2.61 72408 80.33 14786 2945 37 1.27 3.27
Odisha 87602 6123 7.51 62813 71.70 24295 494 22 4.66 0.56
Rajasthan 74670 2715 3.77 59579 79.79 14099 992 25 2.59 1.33
Kerala 64355 4851 8.15 41690 64.78 22344 258 23 9.79 0.40
Haryana 58005 2545 4.59 47613 82.08 9758 634 21 3.43 1.09
Madhya Pradesh 56864 2443 4.49 43246 76.05 12336 1282 36 2.89 2.25
Punjab 46090 2806 6.48 30231 65.59 14640 1219 90 7.97 2.64
Jammu and Kashmir 34480 1405 4.25 26193 75.97 7630 657 33 5.29 1.91
Jharkhand 33311 2193 7.05 22486 67.50 10463 362 27 8.06 1.09
Chhattisgarh 24550 2496 11.32 14145 57.62 10174 231 25 12.14 0.94
Uttarakhand 16549 1020 6.57 11524 69.64 4749 219 12 5.80 1.32
Goa 15027 889 6.29 11511 76.60 3351 165 17 11.49 1.10
Puducherry 11930 1071 9.86 7486 62.75 4264 180 16 9.76 1.51
Tripura 9539 622 6.98 6574 68.92 2863 83 10 13.70 0.87
Manipur 5585 223 4.16 3829 68.56 1731 25 3 13.64 0.45
Himachal Pradesh 5321 220 4.31 3810 71.60 1427 31 3 10.71 0.58
Nagaland 3778 64 1.72 2611 69.11 1149 8 0 0.00 0.21
Arunachal Pradesh 3555 243 7.34 2563 72.10 987 5 0 0.00 0.14
Chandigarh 3376 341 11.24 1800 53.32 1533 41 4 10.81 1.21
Andaman and Nicobar Islands 2985 81 2.79 2309 77.35 635 41 6 17.14 1.37
Ladakh 2451 121 5.19 1580 64.46 846 25 2 8.70 1.02
Dadra and Nagar Haveli and Daman and Diu 2220 43 1.98 1857 83.65 337 2 0 0.00 0.09
Meghalaya 2050 74 3.74 874 42.63 1168 8 0 0.00 0.39
Sikkim 1486 40 2.77 1076 72.41 407 3 0 0.00 0.20
Mizoram 967 49 5.34 473 48.91 494 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1501157 98545 119 0.12 6.56 158 15 5787 16857 17.11
Piemonte 564368 32440 57 0.18 5.75 79 6 1142 4143 12.77
Emilia-Romagna 843153 31094 65 0.21 3.69 90 5 2189 4458 14.34
Veneto 1476308 22190 119 0.54 1.50 46 5 2119 2107 9.50
Toscana 503641 11253 34 0.30 2.23 41 5 1039 1139 10.12
Liguria 225756 10683 12 0.11 4.73 24 0 413 1571 14.71
Lazio 511984 10236 143 1.42 2.00 281 6 2284 875 8.55
Marche 195794 7124 11 0.15 3.64 14 0 248 987 13.85
Campania 390239 5976 138 2.36 1.53 76 3 1164 442 7.40
Puglia 287755 5119 49 0.97 1.78 88 4 548 555 10.84
P.A. Trento 179424 5032 3 0.06 2.80 4 1 47 405 8.05
Sicilia 330449 4091 24 0.59 1.24 53 10 947 286 6.99
Abruzzo 148901 3662 10 0.27 2.46 33 1 342 472 12.89
Friuli Venezia Giulia 307466 3651 9 0.25 1.19 13 2 298 348 9.53
P.A. Bolzano 131107 2893 9 0.31 2.21 8 1 177 292 10.09
Sardegna 126815 1859 34 1.86 1.47 19 0 463 134 7.21
Umbria 144589 1679 29 1.76 1.16 12 1 195 80 4.76
Calabria 147644 1408 8 0.57 0.95 14 1 170 97 6.89
Valle d’Aosta 24230 1223 2 0.16 5.05 1 0 13 146 11.94
Molise 31510 511 0 0.00 1.62 2 0 56 23 4.50
Basilicata 53602 505 3 0.60 0.94 2 0 73 28 5.54

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 61803 62 0.10 5746 2 0.03 9.30 7238.86 673.02 1 in 138
Ontario 43541 87 0.20 2845 2 0.07 6.53 2959.59 193.38 1 in 338
Alberta 13083 77 0.59 235 1 0.43 1.80 2964.55 53.25 1 in 337
British Columbia 5242 58 1.12 203 0 0.00 3.87 1025.65 39.72 1 in 975
Saskatchewan 1601 -1 -0.06 23 1 4.55 1.44 1354.87 19.46 1 in 738
Nova Scotia 1080 0 0.00 65 0 0.00 6.02 1104.91 66.50 1 in 905
Manitoba 1018 25 2.52 13 1 8.33 1.28 739.01 9.44 1 in 1353
Newfoundland and Labrador 268 0 0.00 3 0 0.00 1.12 514.04 5.75 1 in 1945
New Brunswick 190 1 0.53 2 0 0.00 1.05 243.59 2.56 1 in 4105
Prince Edward Island 44 0 0.00 0 0 NaN 0.00 278.20 0.00 1 in 3594
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4710 78 1.66
Guangdong 1734 8 0.46
Zhejiang 1277 1 0.08
Henan 1276 22 1.72
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shanghai 886 7 0.79
Shandong 831 7 0.84
Jiangsu 665 0 0.00
Sichuan 640 3 0.47
Chongqing 583 6 1.03
Fujian 375 1 0.27
Shaanxi 364 3 0.82
Hebei 360 6 1.67
Liaoning 262 2 0.76
Inner Mongolia 260 1 0.38
Guangxi 255 2 0.78
Tianjin 220 3 1.36
Shanxi 202 0 0.00
Yunnan 199 2 1.01
Hainan 171 6 3.51
Gansu 169 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 17658.04 545.50 1 in 57
Brazil 17534.62 557.00 1 in 57
India 2408.18 44.33 1 in 415
Russia 6668.89 114.35 1 in 150
South Africa 10807.78 234.63 1 in 93
Peru 18664.53 864.56 1 in 54
Mexico 4401.09 475.62 1 in 227
Colombia 11455.33 364.56 1 in 87
Spain 8841.68 619.89 1 in 113
Chile 22215.24 607.09 1 in 45
Iran 4477.12 257.53 1 in 223
Argentina 8123.74 170.84 1 in 123
United Kingdom 4964.19 625.15 1 in 201
Saudi Arabia 9404.01 112.99 1 in 106
Bangladesh NA NA 1 in NA
Pakistan 1490.92 31.75 1 in 671
France 4267.83 456.02 1 in 234
Turkey 3232.20 76.27 1 in 309
Italy 4318.35 586.06 1 in 232
Germany 2869.71 112.10 1 in 348

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 233777 5605 2.40
New York New York 232565 23666 10.18
Miami-Dade Florida 153385 2277 1.48
Maricopa Arizona 132290 2804 2.12
Cook Illinois 122423 5022 4.10
Harris Texas 100171 2072 2.07
Broward Florida 69584 1147 1.65
Dallas Texas 69086 899 1.30
Clark Nevada 57131 1058 1.85
Riverside California 51200 978 1.91
Orange California 46642 912 1.96
San Bernardino California 45666 695 1.52
Bexar Texas 45488 1007 2.21
Suffolk New York 44561 2001 4.49
Nassau New York 44348 2196 4.95
Palm Beach Florida 40853 1066 2.61
Tarrant Texas 37924 570 1.50
San Diego California 36994 665 1.80
Westchester New York 36742 1449 3.94
Hillsborough Florida 35953 534 1.49
Orange Florida 34910 364 1.04
Philadelphia Pennsylvania 33139 1736 5.24
Wayne Michigan 30333 2863 9.44
Kern California 28234 240 0.85
Shelby Tennessee 26086 370 1.42
Travis Texas 26017 366 1.41
Hidalgo Texas 25951 1121 4.32
Duval Florida 25732 243 0.94
Prince George’s Maryland 25648 780 3.04
Middlesex Massachusetts 24890 2054 8.25
Mecklenburg North Carolina 24408 274 1.12
Fulton Georgia 23987 497 2.07
Fresno California 23618 239 1.01
Gwinnett Georgia 23411 309 1.32
Milwaukee Wisconsin 23396 482 2.06
Salt Lake Utah 23029 226 0.98
Davidson Tennessee 22907 249 1.09
Hennepin Minnesota 21934 868 3.96
Suffolk Massachusetts 21855 1097 5.02
Bergen New Jersey 21395 2033 9.50
Pima Arizona 20919 553 2.64
Franklin Ohio 20794 554 2.66
Essex New Jersey 20159 2115 10.49
Hudson New Jersey 20058 1510 7.53
Cameron Texas 19862 668 3.36
El Paso Texas 19622 397 2.02
Montgomery Maryland 19599 815 4.16
Pinellas Florida 19522 630 3.23
King Washington 18837 715 3.80
Fairfield Connecticut 18622 1412 7.58
Nueces Texas 18349 327 1.78
Middlesex New Jersey 18319 1421 7.76
St. Louis Missouri 18210 720 3.95
Passaic New Jersey 18206 1249 6.86
Lee Florida 18140 406 2.24
Fairfax Virginia 17784 547 3.08
Essex Massachusetts 17707 1222 6.90
Marion Indiana 17690 745 4.21
Oakland Michigan 17459 1155 6.62
Alameda California 17275 240 1.39
Union New Jersey 17010 1350 7.94
Sacramento California 16623 252 1.52
San Joaquin California 16565 297 1.79
Out of GA Georgia 16489 115 0.70
Polk Florida 16388 419 2.56
Jefferson Louisiana 16159 539 3.34
Santa Clara California 16151 233 1.44
Cobb Georgia 16144 373 2.31
Providence Rhode Island 16142 0 0.00
DeKalb Georgia 16086 287 1.78
Cuyahoga Ohio 15088 552 3.66
Baltimore Maryland 14823 592 3.99
Jefferson Alabama 14729 285 1.93
Fort Bend Texas 14645 220 1.50
Rockland New York 14149 674 4.76
Baltimore City Maryland 14110 451 3.20
Lake Illinois 14027 459 3.27
Wake North Carolina 14004 193 1.38
DuPage Illinois 14001 531 3.79
District of Columbia District of Columbia 13684 604 4.41
New Haven Connecticut 13524 1110 8.21
Stanislaus California 13521 237 1.75
Charleston South Carolina 13440 228 1.70
Tulare California 13431 216 1.61
East Baton Rouge Louisiana 13391 404 3.02
Worcester Massachusetts 13257 1042 7.86
Hartford Connecticut 13184 1424 10.80
Contra Costa California 12906 169 1.31
Douglas Nebraska 12815 151 1.18
Oklahoma Oklahoma 12765 145 1.14
Tulsa Oklahoma 12559 127 1.01
Macomb Michigan 12255 961 7.84
Yuma Arizona 12085 304 2.52
Polk Iowa 11955 218 1.82
Greenville South Carolina 11804 245 2.08
Mobile Alabama 11573 244 2.11
Orange New York 11354 494 4.35
Collier Florida 11351 166 1.46
Orleans Louisiana 11229 572 5.09
Denver Colorado 11038 422 3.82

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc